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A Brain-Inspired Theory of Mind Spiking Neural Network for Reducing Safety Risks of Other Agents 期刊论文
Frontiers in Neuroscience, 2021, 页码: 446
作者:  Zhao,Zhuoya;  Lu,Enmeng;  Zhao,Feifei;  Zeng,Yi;  Zhao,Yuxuan
Adobe PDF(4296Kb)  |  收藏  |  浏览/下载：43/10  |  提交时间：2024/05/28
SOZIL: Self-Optimal Zero-shot Imitation Learning 期刊论文
IEEE Trans on Cognitive and Developmental System, 2021, 卷号: 15, 期号: 1, 页码: 1
作者:  Peng Hao;  Tao Lu;  Shaowei Cui;  Junhang Wei;  Yinghao Cai;  Shuo Wang
Adobe PDF(13840Kb)  |  收藏  |  浏览/下载：188/35  |  提交时间：2022/04/08
imitation learning  learning from observation  keyframe demonstration  
A survey: which features are required for dynamic visual simultaneous localization and mapping? 期刊论文
Visual Computing for Industry, Biomedicine, and Art, 2021, 期号: 4, 页码: 4-20
作者:  Zenwen Xu;  Zheng Rong;  Yihong Wu
Adobe PDF(1156Kb)  |  收藏  |  浏览/下载：345/153  |  提交时间：2022/04/06
Feature choices  Dynamic simultaneous localization and mapping  Multiple objects tracking  Data association  Object simultaneous localization and mapping  
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Chai, Jiajun;  Li, Weifan;  Zhu, Yuanheng;  Zhao, Dongbin;  Ma, Zhe;  Sun, Kewu;  Ding, Jishiyu
Adobe PDF(3402Kb)  |  收藏  |  浏览/下载：292/38  |  提交时间：2022/01/27
Multi-agent systems  Training  Task analysis  Reinforcement learning  Sun  Learning systems  Semantics  Centralized training with decentralized execution (CTDE)  multiagent  reinforcement learning  StarCraft II  
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Hu, Guangzheng;  Zhu, Yuanheng;  Zhao, Dongbin;  Zhao, Mengchen;  Hao, Jianye
Adobe PDF(4187Kb)  |  收藏  |  浏览/下载：268/12  |  提交时间：2022/01/27
Bandwidth  Protocols  Reinforcement learning  Task analysis  Optimization  Communication networks  Multi-agent systems  Event trigger  limited bandwidth  multi-agent communication  multi-agent reinforcement learning (MARL)  
Hierarchical Motion Learning for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:  Zhou, Junjie;  Zhong, Shanlin;  Wu, Wei
Adobe PDF(5440Kb)  |  收藏  |  浏览/下载：310/53  |  提交时间：2022/01/27
Brain-inspired decision making  Fitts' law  Motion generation  Musculoskeletal system  Speed-accuracy tradeoff (SAT)  
Structure transforming for constructing constraint force field in musculoskeletal robot 期刊论文
ASSEMBLY AUTOMATION, 2021, 卷号: 42, 期号: 2, 页码: 169-180
作者:  Zhong, Shanlin;  Chen, Ziyu;  Zhou, Junjie
Adobe PDF(2152Kb)  |  收藏  |  浏览/下载：382/71  |  提交时间：2021/12/28
High precision  Attractive region in environment  Constraint force field  Musculoskeletal robot  
Dynamic camera configuration learning for high-confidence active object detection 期刊论文
NEUROCOMPUTING, 2021, 卷号: 466, 页码: 113-127
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Cao, Yong;  Meng, Gaofeng;  Pan, Chunhong
Adobe PDF(4412Kb)  |  收藏  |  浏览/下载：343/69  |  提交时间：2021/12/28
Object detection  Active object detection  Deep reinforcement learning  Camera control  
Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 14
作者:  Yang, Yang;  Tan, Zichang;  Tiwari, Prayag;  Pandey, Hari Mohan;  Wan, Jun;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(1831Kb)  |  收藏  |  浏览/下载：315/8  |  提交时间：2021/11/02
Pedestrian attribute recognition  Attention  Split-and-aggregate learning  Feature recombination  
Behavior-based Autonomous Navigation and Formation Control of Mobile Robots in Unknown Cluttered Dynamic Environments with Dynamic Target Tracking 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 766-786
作者:  Nacer Hacene;  Boubekeur Mendil
Adobe PDF(6433Kb)  |  收藏  |  浏览/下载：220/56  |  提交时间：2021/09/13
Behavior-based autonomous navigation  dynamic obstacles and walls  dynamic target tracking  formation control of multi-robot systems  dynamic environment